Igor O. Kozlov, Evgeny A. Zherebtsov, Mikhail A. Mezentsev, Valery V. Shupletsov, Elena V. Potapova, Angelina I. Zherebtsova, Viktor V. Dremin, Andrey V. Dunaev, and Igor V. Meglinski "Analysis of changes in blood flow oscillations under different probe pressure using laser Doppler spectrum decomposition", Proc. SPIE 11079, Medical Laser Applications and Laser-Tissue Interactions IX, 110791Q (22 July 2019); https://doi.org/10.1117/12.2527040
Analysis of changes in blood flow oscillations under different probe pressure using laser Doppler spectrum decomposition
|Author:||Kozlov, Igor O.1; Zherebtsov, Evgeny A.1,2; Mezentsev, Mikhail A.1;|
1Orel State University named after I.S. Turgenev, Komsomolskaya St. 95, Orel, Russia
2Optoelectronics and Measurement Techniques, University of Oulu, Oulu, FI-90014, Finland
|Online Access:||PDF Full Text (PDF, 2.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019082725788
|Publish Date:|| 2019-08-27
Presently, in the modern laser Doppler flowmetry (LDF) the distribution of blood perfusion and its changes along the Doppler shift frequencies are simply ignored and/or not properly addressed. Utilizing the registered power spectrum of photocurrent, we introduce an LDF signal processing approach suitable for expanding of diagnostic capabilities of the technique. In particular, we demonstrate that it is possible to determine how the oscillations of blood ow (cardiac, breathe, myogenic, etc.) are distributed along the Doppler shift frequency. Wavelet analysis is utilized to extract the oscillations corresponded to the particular frequency sub-bands of blood perfusion. The main purpose of this study is to identify influence of local pressure by fiber optic probe on cardiac oscillations and their distribution along frequency of Doppler shift.
Proceedings of SPIE
Proceedings, Medical Laser Applications and Laser-Tissue Interactions IX. European Conferences on Biomedical Optics. 23-27 June 2019, Munich, Germany
European Conferences on Biomedical Optics
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
217 Medical engineering
3141 Health care science
The work has been funded by the grant of the Russian Science foundation research project 18-79-00237. Evgeny Zherebtsov kindly acknowledges for personal support from grant of Academy of Finland No.318281.
|Academy of Finland Grant Number:||
318281 (Academy of Finland Funding decision)
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